CSMA2026

Numerical assessment of a micromorphic approach to approximate cohesive damage gradient models: role of the penalisation factor
Pedro Nava Soto  1, *@  , Thomas Helfer  2, *@  , Jean-Michel Scherer  3, *@  , Olivier Fandeur  4, *@  , Adrien Jaccon  4, *@  , Jacques Besson  5, *@  
1 : CEA, DES, IRESNE, DEC, SESC
Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Cadarache
2 : CEA, DES, IRESNE, DEC, SESC
Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Cadarache
3 : MINES ParisTech, PSL Research University, MAT –Centre des matériaux, CNRS UMR 7633
MINES ParisTech - École nationale supérieure des mines de Paris
Versailles, 78000 -  France
4 : CEA Paris Saclay
Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Paris-Saclay
5 : MINES ParisTech, PSL Research University, MAT –Centre des matériaux, CNRS UMR 7633
MINES ParisTech - École nationale supérieure des mines de Paris
Versailles, 78000 -  France
* : Auteur correspondant

This paper assesses a micromorphic approach to approximate cohesive damage
gradient models. This approach has the advantage of being able to approximate most damage
gradient models with a unified finite element implementation, but has the disadvantage of
introducing a penalisation coefficient.
Inspired by the current approaches in which a Lagrange multiplier has replaced the
penalisation coefficient, and the cell equilibrium algorithm in the
context of Hybrid High Order methods, a new numerical strategy is proposed.


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